Science and elephant management decisions in South Africa

Most conservation practitioners rely on experience-based information for management decisions. In South Africa, government policy thus directs managers to base decisions for elephant management on the best available scientific information. The reliance of their management decisions on science, however, is unknown. We interviewed 30 managers from small to large protected areas in South Africa to evaluate whether science underpinned strategic and applied management decisions regarding elephants. We also evaluated their perspectives on limitations to, and opportunities for, greater reliance on science. Twenty-nine managers valued science as a platform for their decisions. However, most managers based decisions on experience-based information. Only 28%, 30% and 8% of managers respectively developed objectives, identified issues and selected management methods on science-based information. Furthermore, only 30% selected a desired number of elephants, and 5% selected a population control method, according to science-based information. The probability of managers basing decisions on science-based information differed with management area size, tenure, planning timeframes and manager experience. However, except for experience, these relationships were weak, and overall an implementation gap between science and elephant management existed. Limitations for science to inform decisions included lack of relevance and application of science findings to respective management areas, and scientists’ attitudes and credibility. Opportunities included more site specific studies, better communication of, and easier access to scientific material. These opportunities could enable scientists to contribute more effectively to elephant management decisions and improve the reliance on science among the wider community of conservation practitioners in Africa.     

Illegal wildlife use and protected area management in Ghana

Starting in 2004, a system to monitor patrol staff performance, illegal wildlife use and trends in large-mammal populations was established in nine protected areas in Ghana. The main objectives were to use monitoring feedback as the foundation for informed decisions to aid adaptive and performance management, and to identify the most important factors contributing to wildlife conservation. The competitive management system resulted in a doubling of patrol performance. As a result, in the six savannah sites, poaching was reduced to acceptable levels by the end of 2007, but in the three forest sites, poaching remained high. To reverse poaching trends in the forest required a conventional patrol effort that was 10 times higher than that in the savannah.The relationship between the amount of illegal activity with the operational budget, senior staff performance, encounter rates with large mammals, human population densities and habitat, was investigated for 2005-2007. With three predictor variables, the model explained 63% of the variation in the encounter rates with illegal activity. Increasing human population densities gave higher levels of poaching. Increasing frequencies of camp visits by senior officers and increasing operational budgets gave lower levels of poaching.In the second model, elephant poaching was used as the response variable and relative elephant density as an additional predictor variable. One predictor variable - that is elephant density - explained 38% of the total variation in elephant poaching. Elephant density incorporated the effects of camp visit frequencies, human densities, and habitat. Commercial trophy hunting for ivory, as opposed to subsistence hunting, was more sensitive to the density of the target species and efforts to curtail the activity. Subsistence hunting was proportional to human densities, with mainly members of nearby communities involved, while elephant poaching was not, mainly involving specialised hunters from towns further away.     

A critical assessment of adaptive ecosystem management in a large savanna protected area in South Africa

This paper uses five inter-related topics (the management of rivers, fire regimes, invasive alien species, rare antelope and elephants) to assess 15 years of adaptive management in the Kruger National Park (KNP), South Africa. The importance of adaptive planning (a process for developing achievable objectives, which is adaptive because objectives are revised as understanding grows), has been highlighted by this assessment, and the KNP’s track record of adaptive planning is better than that of adaptive management. Adaptive management has identified important issues with regard to biodiversity conservation, and resulted in a shift in management focus to these issues. Because the conservation outcomes of management shifts will only manifest themselves in the longer term, the relative success of adaptive management should be measured by the degree to which management has been refocused onto priority issues, and by the rate at which new understanding is generated. Some issues previously seen as important (fire, rare antelope), are now regarded as less so, while others remain important and difficult to solve, although there has been some progress (rivers, alien plants and elephants). It has also proved difficult to implement active adaptive management (large-scale, replicated trials using different approaches), because of local variation and logistical problems. Adaptive management will remain the approach of choice because there is some progress, and no known alternative to managing this complex ecosystem. It is simply not an option to return to the easily-understood “implementable” solutions (such as culling, regular prescribed burning, or artificial water provision) that demonstrably did not work.     

从评价理论看《白象似的群山》中的人物塑造

评价理论是系统功能语言学在对人际意义的研究中发展起来的一种新的词汇语法框架。这一理论受到广泛关注，并应用于分析多种类型的文本，如新闻、广告等。文中主要通过分析《白象似的群山》来揭示评价理论在文学作品解读中的应用，并从另一角度展示海明威独特、精湛的人物鞭造方式，以彰显其“冰山原则”。分析表明评价理论在文学作品的人物形象塑造、作家写作风格以及文体特征等方面都有较广的应用前景。对文学作品的分析也有助于评价理论体系的进一步完善和发展。     

Oil prospecting and its impact on large rainforest mammals in Loango National Park, Gabon

Resource extraction is increasingly affecting protected areas worldwide. However, aside from studies on logging, limited information is available about the effect this has on wildlife, which may be of great consequence, especially when endangered species could be affected. Specifically, the effect of intense human-induced noise during oil exploration on wildlife is poorly understood. We explore the effect of seismic oil exploration on large mammal distribution in an 80 km² area of Loango National Park, Gabon. Following the ecological theory of habitat disturbance, we predicted that changes in habitat use in response to noise disturbance would scale with the body/home range size of each species examined. Our study was conducted over six months before, during and after low-impact seismic operations. We recorded counts along transects of indirect signs of elephants (Loxondota africana cyclotis), chimpanzees (Pan troglodytes troglodytes), gorillas (Gorilla gorilla gorilla), duikers (Cephalophus spp.), and the vocalizations of five monkey species (Cercocebus torquatus,Cercopithecus cephus, C. nictitans, C. pogonias and Lophocebusalbigena) and modeled seismic impact over different spatial scales (small, intermediate and large). We found that elephants avoided seismic activity on all three spatial scales, apes avoided on the intermediate and small scales, and there was no effect for duikers and monkeys. We conclude that low-impact seismic operations can cause considerable temporary habitat loss for species with large ranges and suggest that the impact on those endangered species can be minimized by adequately spacing seismic lines and activity in space and time to enable species to move away from the progressive noise disruption.     

Patch-occupancy models indicate human activity as major determinant of forest elephant Loxodonta cyclotis seasonal distribution in an industrial corridor in Gabon

The importance of human activity and ecological features in influencing African forest elephant ranging behaviour was investigated in the Rabi-Ndogo corridor of the Gamba Complex of Protected Areas in southwest Gabon. Locations in a wide geographical area with a range of environmental variables were selected for patch-occupancy surveys using elephant dung to assess seasonal presence and absence of elephants. Patch-occupancy procedures allowed for covariate modelling evaluating hypotheses for both occupancy in relation to human activity and ecological features, and detection probability in relation to vegetation density. The best fitting models for old and fresh dung data sets indicate that (1) detection probability for elephant dung is negatively related to the relative density of the vegetation, and (2) human activity, such as presence and infrastructure, are more closely associated with elephant distribution patterns than are ecological features, such as the presence of wetlands and preferred fresh fruit. Our findings emphasize the sensitivity of elephants to human disturbance, in this case infrastructure development associated with gas and oil production. Patch-occupancy methodology offers a viable alternative to current transect protocols for monitoring programs with multiple covariates.